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Microchem J . Fluorescence immunoassay rapid detection of 2019-nCoV antibody based on the fluorescence resonance energy transfer between graphene quantum dots and Ag@Au nanoparticle

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  • Microchem J . Fluorescence immunoassay rapid detection of 2019-nCoV antibody based on the fluorescence resonance energy transfer between graphene quantum dots and Ag@Au nanoparticle


    Microchem J


    . 2021 Dec 1;107046.
    doi: 10.1016/j.microc.2021.107046. Online ahead of print.
    Fluorescence immunoassay rapid detection of 2019-nCoV antibody based on the fluorescence resonance energy transfer between graphene quantum dots and Ag@Au nanoparticle


    Nan Li 1 , Linhong Shi 1 , Xue Zou 1 , Tengfei Wang 1 , Dongmei Wang 1 2 , Zhengjun Gong 1 2 , Meikun Fan 1 2



    Affiliations

    Abstract

    Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which has afflicted the world, is a highly contagious virus. The timely and accurate diagnosis of SARS-CoV-2 infections is vital for disease control and prevention. This work is that a fluorescence immunoassay was developed to detect 2019-nCoV antibodies (2019-nCoV mAb). Fluorescent graphene quantum dots (GQDs) and Ag@Au nanoparticles (Ag@AuNPs) were successfully synthesized and characterized. Fluorescence resonance energy transfer (FRET) enables Ag@AuNPs effective quenching of GQDs fluorescence.. With the presence of 2019-nCoV mAb, a steric hindrance was observed between the Ag@AuNPs-NCP (2019-nCoV antigen) complex and GQDs, which reduced the FRET efficiency and restored the fluorescence of GQDs. The fluorescence enhancement efficiency has a satisfactory linear relationship with the logarithm of the 2019-nCoV mAb in a concentration scope of 0.1 pg mL-1 - 10 ng mL-1, and the limit of detection was 50 fg mL-1. This study tested other proteins and proved that the fluorescence immunoassay has good selectivity. When this method was applied to the standard addition recovery trial test of 2019-nCoV mAb in serum samples, the recovery rate was between 90.8% and 103.3%, and satisfactory results were obtained.

    Keywords: 2019-nCoV; Ag@AuNPs; Fluorescence immunosensor; Fluorescence resonance energy transfer; Graphene quantum dots.

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